This presentation breaks down the three layers of the SPREAD AI platform and how they transform complex engineering work. It opens with the data ingestion engine that unifies PLM, ALM, ERP and other sources into an open ontology, represented as the Product Twin. It shows how this structured product intelligence powers configurable use cases, integrates with external tools, and provides foundational data to agent technologies across the ecosystem.

The talk then moves through SPREAD’s core applications. Requirements Management links written specifications to real product data to enable analysis, comparison, and actionable implementation planning. Error Inspector and Ticket Analyzer accelerate bug triage by mapping issues to responsible components and root causes across engineering, production, and aftersales. Product Explorer gives multidimensional navigation across components, functions, and failures. Action Tower aggregates operational signals into predictive insights that expose engineering risks and trigger decisions to protect release timelines.

The session closes with the expansion of SPREAD AI across industries and regions, highlighting adoption in automotive, defense, aerospace, and industrial machinery, as well as the platform’s footprint in development projects, factories, and repair networks worldwide.